Research Assistant in Experimental and Computational Biology 55 %

Description du poste

### The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! ### Your responsibilities * Contribute to experimental work and microscopy-based measurements of 3D structures using spinning disc confocal and light sheet microscopy for fixed multiplexed and live-imaging datasets. * Analyse multiplexed measurements and integrate imaging-derived features to investigate cellular behaviour. * Process light-sheet microscopy data and apply workflows for tracking cells in live-imaging datasets. * Apply computational methods, including machine learning where appropriate, to identify patterns and extract biological insights. * Perform data quality control, statistical analysis and visualisation. * Work closely with experimental and computational researchers and document experiments, code, methods and results. Your profile * MSc degree in cell biology, developmental biology, engineering or a related discipline, with a combination of experimental and computational experience. * Python coding experience and the ability to develop and adapt scripts for scientific data analysis. * Knowledge of microscopy and image analysis, with the ability to connect experimental measurements to quantitative biological questions. * Experience with quantitative data analysis and an interest in reproducible computational workflows. * Experience working with embryos is an advantage. Familiarity with light-sheet microscopy, cell tracking, multiplexed measurements or large volumetric datasets is also welcome. * Strong communication skills, fluency in English, and the ability to work independently and collaborate across disciplines. Dr. Shayan Shamipour SNF Ambizione Fellow \+41782442377 Dr. Shayan Shamipour